A Sensor-based Method for Diagnostics of Geometric Performance of Machine Tool Linear Axes

Author:

Vogl Gregory W.,Calamari Matthew,Ye Sean,Donmez M. Alkan

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference22 articles.

1. Altintas, Y., Verl, A., Brecher, C., Uriarte, L., & Pritschow, G. (2011). Machine tool feed drives. CIRP Annals - Manufacturing Technology, 60(2), 779-796. doi:http://dx.doi.org/10.1016/j.cirp.2011.05.010.

2. Biehl, S., Staufenbiel, S., Recknagel, S., Denkena, B., & Bertram, O. (2012, June 27-29, 2012). Thin Film Sensors for Condition Monitoring in Ball Screw Drives. Paper presented at the 1st Joint International Symposium on System-Integrated Intelligence 2012: New Challenges for Product and Production Engineering, Hannover, Germany.

3. Ehrmann, C., & Herder, S. (2013). Integrated diagnostic and preload control for ball screw drives by means of self-sensing actuators. Paper presented at the 2013 WGP Congress, July 22, 2013 - July 23, 2013, Erlangen, Germany.

4. Investigation of ball screw preload variation based on dynamic modeling of a preload adjustable feed-drive system and spectrum analysis of ball-nuts sensed vibration signals;Feng;International Journal of Machine Tools and Manufacture,2012

5. A new diagnostic technique for ball screw actuators;Garinei;Measurement: Journal of the International Measurement Confederation,2012

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